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Statisticians make their living producing confidence intervals and pvalues. However, those in the Stata log are not ready for delivery to the end user, who usually wants to see statistical output either as a plot or as a table. This article describes a suite of programs used to convert Stata results to one or other of these forms. The eclplot package creates plots of estimates with conÞdence intervals, and the listtex package outputs a Stata dataset in the form of table rows that can be inserted into a plain TEX, LATEX, HTML, or word processor table. To create a Stata dataset that can be output in these ways, we can use the parmest, dsconcat, and lincomest packages to create datasets with one observation per estimated parameter; the sencode, tostring, ingap, and reshape packages to process these datasets into a form ready to be output; and the descsave and factext packages to reconstruct, in the output dataset, categorical predictor variables represented by dummy variables in regression models. Copyright 2003 by StataCorp LP.

A frequent problem in data management is that datasets may not arrive in the best structure for many analyses, so that it may be necessary to restructure the data in some way. The particular case of multiple response data is discussed at length, with special attention to different possible structures; the generation of new variables holding the data in different form; valuable inbuilt string and egen functions; using foreach and forvalues to loop over lists; and the use of the reshape command. Tabulations and graphics for such data are also reviewed brießy. Copyright 2003 by Stata Corporation.